mechinterp-crossmodel-matcher
CommunityReveal cross-model SAE feature correspondences.
Data & Analytics#cross-model#interpretability#activation-patterns#SAE#feature-matching#token-overlap#model-scale
Authorcesaregarza
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill helps researchers align and compare SAE features across Ultra and Full models, revealing corresponding patterns and discrepancies to support interpretability.
Core Features & Use Cases
- Cross-model feature mapping: Identify which Ultra features map to Full features based on activation and token patterns.
- Similarity-aware validation: Quantify overlaps and detect monosemantic representations across model scales.
- Use Case: Validate that a pattern discovered in Ultra has a counterpart in Full to ensure robust interpretation across model sizes.
Quick Start
To start, load Ultra and Full SAE contexts and run the FeatureMatcher to locate cross-model matches.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mechinterp-crossmodel-matcher Download link: https://github.com/cesaregarza/SplatNLP/archive/main.zip#mechinterp-crossmodel-matcher Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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